SuperMinHash, Simhash and SimhashIndex

SuperMinHash

A New Minwise Hashing Algorithm for Jaccard Similarity Estimation

This is an implementation of Otmar Ertl's paper with the same title. The implementation is still in progress but almost there...

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for superminhash 0.1.0
File	Size	Uploaded
superminhash-0.1.0.tar.gz	6.4 kB	Mar 26, 2019	Details

Table of built distributions (wheels) for superminhash 0.1.0
File	Interpreter	ABI	Platform	Reset
superminhash-0.1.0-py3-none-any.whl 8.5 kB Mar 26, 2019	Python 3	none	any	Details

Total release size: 14.9 kB

Download URL	superminhash-0.1.0.tar.gz
Size	6.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`181fe4aa119ceaa139ba0569f21fb5804431df65f85a25131f5002ec78ec142a`
BLAKE2b-256 checksum How to use checksums	`f26f08af3c8e44ce654c825cd9fab5412cdfcdcee4b866479099e261c9c48055`
Upload date	Mar 26, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2`

Download URL	superminhash-0.1.0-py3-none-any.whl
Size	8.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3a33e56b3cd82638ba36ac22e8542bd070939841d10f9825c5a18a6493273e5a`
BLAKE2b-256 checksum How to use checksums	`eeebee7b424b604e5938132294f48bbad03f06efecc667eae85c3531fc378135`
Upload date	Mar 26, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2`

This release

0.1.0 This release